Performance considerations in Tableau - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of performance optimization in Tableau?

To make dashboards and reports load and respond quickly, providing a smooth user experience.

beginner

How does reducing the number of marks on a Tableau visualization affect performance?

Fewer marks mean less data to process and draw, which speeds up rendering and improves dashboard responsiveness.

intermediate

Why should you limit the use of complex calculations in Tableau dashboards?

Complex calculations take more time to compute, which can slow down dashboard loading and interaction.

intermediate

What is the benefit of using extracts instead of live connections in Tableau?

Extracts store a snapshot of data locally, which can speed up queries and reduce load on the original data source.

beginner

How can dashboard design impact Tableau performance?

Simple, clean dashboards with fewer filters and quick filters, and optimized layouts load faster and respond better.

Which action can improve Tableau dashboard performance the most?

A Adding more filters to the dashboard

B Reducing the number of marks in visualizations

C Using complex nested calculations

D Increasing the number of worksheets

Reducing marks lowers the data Tableau needs to process, speeding up performance.

What is a key advantage of using Tableau data extracts?

A They always show real-time data

B They require a live internet connection

C They reduce load on the original data source

D They increase dashboard complexity

Extracts store data locally, reducing queries to the original source and improving speed.

Why should you avoid too many quick filters in Tableau dashboards?

A They reduce data security

B They make dashboards look messy

C They increase data accuracy

D They slow down dashboard loading and interaction

Each quick filter adds processing load, which can slow down performance.

Which of these is NOT a good practice for improving Tableau performance?

A Using many complex calculated fields

B Limiting the number of marks in visualizations

C Using extracts instead of live connections when possible

D Designing simple dashboards with fewer filters

Complex calculations increase processing time and slow performance.

What does 'reducing the number of marks' mean in Tableau?

A Showing fewer data points on a chart

B Deleting worksheets

C Removing filters

D Increasing data refresh frequency

Marks are data points; fewer marks mean less data to process and faster rendering.

Explain three ways to improve Tableau dashboard performance.

Think about data size, calculations, and dashboard layout.

Describe why using live connections might slow down Tableau dashboards compared to extracts.

Consider how data is accessed and processed.

Practice

1. Which of the following is a simple way to improve Tableau dashboard performance?

easy

A. Increase the number of worksheets in the dashboard

B. Add more filters to the dashboard

C. Use complex nested calculations

D. Use data extracts instead of live connections

Solution

1. Step 1: Understand data connection types

   Data extracts are snapshots of data stored locally, which load faster than live connections querying databases in real-time.

2. Step 2: Compare impact of filters and calculations

   Adding more filters or complex calculations slows performance, while extracts speed it up.

3. Final Answer:

   Use data extracts instead of live connections -> Option D

4. Quick Check:

   Extracts improve speed = A [OK]

Hint: Choose extracts over live connections for faster dashboards [OK]

Common Mistakes:

• Thinking more filters always improve performance
• Believing complex calculations run faster
• Assuming more worksheets speed up dashboards

2. Which Tableau feature syntax is correct for creating an extract?

easy

A. Data > Extract Data > Click 'Extract'

B. File > Export > Extract Data

C. Worksheet > Create Extract

D. Dashboard > Extract > New

Solution

1. Step 1: Recall Tableau menu paths

   Extracts are created via the Data menu by selecting 'Extract Data' and then clicking 'Extract'.

2. Step 2: Verify other options

   Other menu paths do not exist or are incorrect for extract creation.

3. Final Answer:

   Data > Extract Data > Click 'Extract' -> Option A

4. Quick Check:

   Correct extract creation path = D [OK]

Hint: Extracts are created from the Data menu in Tableau [OK]

Common Mistakes:

• Looking under File or Dashboard menus for extract options
• Confusing export with extract
• Trying to create extracts from worksheets

3. Given a dashboard with 3 filters and 5 complex calculations, what is the likely impact on performance?

medium

A. Dashboard will load faster due to filters

B. No impact on performance

C. Performance will slow down due to complex calculations and filters

D. Performance improves with more calculations

Solution

1. Step 1: Understand filter and calculation effects

   Each filter and complex calculation requires processing, increasing load time.

2. Step 2: Combine effects on dashboard speed

   Multiple filters plus complex calculations compound and slow dashboard performance.

3. Final Answer:

   Performance will slow down due to complex calculations and filters -> Option C

4. Quick Check:

   More filters + complex calcs = slower performance [OK]

Hint: More filters and complex calcs usually slow dashboards [OK]

Common Mistakes:

• Assuming filters always speed up dashboards
• Ignoring calculation complexity
• Believing performance is unaffected by dashboard elements

4. You notice your Tableau dashboard is slow. Which of these is a likely cause and fix?

medium

A. Using live connection with many filters; switch to extract and reduce filters

B. Using extracts with no filters; add more filters to speed up

C. Using simple calculations; replace with complex calculations

D. Dashboard has few worksheets; add more worksheets to improve speed

Solution

1. Step 1: Identify performance bottlenecks

   Live connections with many filters cause slow queries and dashboard lag.

2. Step 2: Apply fixes

   Switching to extracts reduces query time; reducing filters lowers processing load.

3. Final Answer:

   Using live connection with many filters; switch to extract and reduce filters -> Option A

4. Quick Check:

   Extracts + fewer filters = faster dashboards [OK]

Hint: Switch live to extract and cut filters to fix slow dashboards [OK]

Common Mistakes:

• Adding filters to speed up
• Replacing simple with complex calculations
• Adding worksheets to improve speed

5. You have a large dataset and a slow dashboard. Which combined approach best improves performance?

hard

A. Use extracts, add many filters, and complex calculations

B. Use extracts, limit filters, and simplify calculations

C. Use live connection, add many filters, and complex calculations

D. Use live connection, no filters, and complex calculations

Solution

1. Step 1: Analyze dataset size and dashboard speed

   Large datasets slow dashboards especially with live connections and complex processing.

2. Step 2: Combine best practices

   Extracts reduce data load time, fewer filters reduce query complexity, and simple calculations reduce processing.

3. Final Answer:

   Use extracts, limit filters, and simplify calculations -> Option B

4. Quick Check:

   Extracts + fewer filters + simple calcs = best speed [OK]

Hint: Combine extracts, fewer filters, simple calcs for best speed [OK]

Common Mistakes:

• Adding many filters with extracts
• Using live connections for large data
• Relying on complex calculations